Microsoft All Set To Explore Powering Its AI Data With The Help Of Nuclear Energy

Software giant Microsoft is hinting through a recently published job posting how it would like to explore using nuclear energy to power its AI data.

The firm appears to be on the lookout for ways by which it would like to power some huge tech models including ChatGPT technology that obviously consumes way more energy than others.

Therefore, to handle that domain, it’s now on the lookout to hire a qualified professional having expertise to handle programs linked to nuclear technology as unveiled in the latest job post. This individual would be hired to gauge how much energy is needed to keep data centers running normally and how to ensure AI model hosting is done right through such means.

The news was first published in an article put out by CNBC. And that is where the leading tech firm will have a due focus on making use of microreactors that are far less expensive to make and run, in comparison to bigger nuclear reactors. And that is going to be used to fully power all AI and Cloud data centers belonging to the software giant.

In case you were not already aware, most AI models including ChatGPT use a huge amount of energy. And as per recent data statistics, ChatGPT may end up costing a whopping $700k per day, just to ensure the right operations are in place. And that also has to do with the great amount of nuclear energy it makes use of to really come to terms with the huge demand for energy to carry out such tasks.

The leading firm has already a mega deal worth a staggering $10 billion with ChatGPT founder OpenAI in place. This was a part of the top-of-the-line AI firm entailing cloud services that ensure startups will run accurately and as needed.

At the start of this year, we also saw it open up the world of AI in its respective search engine called Bing. And that gave rise to the launch of a mega search tool that’s powered using AI technology at the start of 2023. So as you can see, the firm is certainly on a roll.

Other than that, a lot of people have been expressing concern regarding the effects of using generative AI technology and the growing negative impact it would have on the environment. Similarly, an academic analysis went on to estimate how training GPT3 would result in a huge loss of 550 tons of carbon dioxide. Furthermore, it would need a whopping 3.5 million liters of water to conduct the changes as well.

The leading software giant went on to pledge how it would be accelerating the great efforts needed to fuel data centers using energy that came from renewable sources while also reducing emissions along the way.

There would also be plans in place to ensure the environment where the business was functioning happened to be carbon-negative, produce zero waste, and remain water-positive along the way by the year 2030.

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